Welcome to the homepage for the book Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners, written by Danielle J. Navarro, David R. Foxcroft, and Thomas J. Faulkenberry.
Learning Statistics with JASP is a free textbook covering the basics of statistical inference for beginners in psychology and related applied disciplines. It uses the free software package JASP. Written in a lively, conversational style, it provides the reader with a perfect balance of readability and rigor, and gives students a modern view of statistical inference in the psychological and behavioral sciences.
Learning Statistics with JASP is available as a free PDF download. You can download the entire book in one file (~7MB), or you can download specific chapters below:
The example datasets that are used in Learning Statistics with JASP are available for download in two ways.
If you are using (or are considering using) this book for your own course, please let us know at the following link. We really want to know who is using the book and how and where it is being used.
This book was written entirely in LaTeX, and all source code for the book can be found on GitHub.
This book is completely open source, which means you are free to adapt it in any way you wish (as long as appropriate credit is given to the authors..see below). However, if you find issues that you would like to see corrected and or changed in this posted version, feel free to contact me by email. Even better would be to log an issue on GitHub.
This book is an adaptation of Navarro, D.J., & Foxcroft, D. R. (2019). learning statistics with jamovi: A tutorial for psychology students and other beginners. (Version 0.7). DOI: 10.24384/hgc3-7p15. It is released under a Creative Commons CC BY-SA 4.0 license. This means that this book can be reused, remixed, retained, revised and redistributed (including commercially) as long as appropriate credit is given to the authors. If you remix, or modify the original version of this open textbook, you must redistribute all versions of this open textbook under the same license as the original.